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Paper Citation Record · LEDGER

TeamCraft: A Benchmark for Multi-Modal Multi-Agent Systems in Minecraft

As of 13 August 2026, this Paper Citation Record lists 67 of 67 outbound references and 8 inbound Pith citation observations for arXiv:2412.05255.

A citation records a reference. It does not transfer a finding from one paper to another.

pith.paper-citation-record.v1
2412.05255 v1

Coverage vector

measured 67 of 67 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-11T20:53:35.497836Z

measured 75 of 75 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-13T06:32:02.005865+00:00

measured 8 of 8 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T14:12:01.259409Z

measured 0 of 1 external citation measurements

A source-named dated measurement, never combined with another source.

Source: arxiv_reference, observed 2026-07-04T00:39:17.292874Z

Reference resolution

67 of 67 outbound references displayed

  • verified exact2
  • verified fuzzy55
  • unresolved10
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 5ef4858a-b399-4133-8f86-c939539f95ad · outbound

This paper cites A Minecraft based sim- ulated task environment for human AI teaming,.

TeamCraft: A Benchmark for Multi-Modal Multi-Agent Systems in Minecraft A Minecraft based sim- ulated task environment for human AI teaming,

Reference 1

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T20:53:37.713411Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-11T20:53:34.891373Z digest=sha256:2b702ea241a7c5ca265909dbe5c81a28f69fc4633f9ced945e7a6483a7e6b44b

Observation 043ae3e9-87fc-4f4b-bc76-b36762dd481f · outbound

This paper cites Vision- and-language navigation: Interpreting visually-grounded nav- igation instructions in real environments,.

TeamCraft: A Benchmark for Multi-Modal Multi-Agent Systems in Minecraft Vision- and-language navigation: Interpreting visually-grounded nav- igation instructions in real environments,

Reference 2

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T20:53:37.640634Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-11T20:53:34.904327Z digest=sha256:053a98b91b501b2546a987ac4da3608062ea1dcb8d8e0ba2f82f7078cdd19295

Observation 71a37131-c035-487a-878e-bd9c38992753 · outbound

This paper cites Video Pre- Training (VPT): Learning to act by watching unlabeled online videos,.

TeamCraft: A Benchmark for Multi-Modal Multi-Agent Systems in Minecraft Video Pre- Training (VPT): Learning to act by watching unlabeled online videos,

Reference 3

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T20:53:37.632671Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-11T20:53:34.907888Z digest=sha256:10771b184556d23ff017b7bd5fe8a83811a4f6566e87d8eea73eccc76f29e6a8

Observation fc446dac-f8b0-4b48-bb53-0c0c41cacc51 · outbound

This paper cites ROCKET-1: Mastering Open-World Interaction with Visual-Temporal Context Prompting.

TeamCraft: A Benchmark for Multi-Modal Multi-Agent Systems in Minecraft ROCKET-1: Mastering Open-World Interaction with Visual-Temporal Context Prompting

Reference 4

Resolution
unresolved
no resolver link, observed 2026-08-11T20:53:34.911132Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T20:53:34.911132Z digest=sha256:88f8cf67dbe9dd6481599d45860ddeb843305680b9c720fd9c8b7e440dc60f78

Observation 2619ed83-68d1-4e23-9926-88046318582d · outbound

This paper cites On the utility of learning about humans for human-AI coordination,.

TeamCraft: A Benchmark for Multi-Modal Multi-Agent Systems in Minecraft On the utility of learning about humans for human-AI coordination,

Reference 5

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T20:53:37.625317Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-11T20:53:34.915463Z digest=sha256:6c02a45f7c6f1266e991988601b41b135cfe6278ff4dba298ddc3547d3e85c1c

Observation 8a141125-b6a5-4702-8f69-3006b1a4fc4c · outbound

This paper cites PARTNR: A Benchmark for Planning and Reasoning in Embodied Multi-agent Tasks.

TeamCraft: A Benchmark for Multi-Modal Multi-Agent Systems in Minecraft PARTNR: A Benchmark for Planning and Reasoning in Embodied Multi-agent Tasks

Reference 6

Resolution
unresolved
no resolver link, observed 2026-08-11T20:53:34.919498Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T20:53:34.919498Z digest=sha256:2e464f4787deef8a79403f4c6bc81c017787539050c21589b9c5b91f890f2f47

Observation c03d9a5e-c6f3-475b-9d93-afa42b4ee0aa · outbound

This paper cites Visual hide and seek,.

TeamCraft: A Benchmark for Multi-Modal Multi-Agent Systems in Minecraft Visual hide and seek,

Reference 7

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T20:53:37.617173Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-11T20:53:34.923161Z digest=sha256:ff9b895bab39223cee4d181fecf16c890af6b51eaafca5c6db9f3bae96bcc7cd

Observation 9e8333e3-0cd3-47ff-9c07-1176d4a29314 · outbound

This paper cites Embodied question answering,.

TeamCraft: A Benchmark for Multi-Modal Multi-Agent Systems in Minecraft Embodied question answering,

Reference 8

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T20:53:37.575088Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-11T20:53:34.931482Z digest=sha256:a0020639d3ab6179eeae95dd8af55fbd17f1140c8897d18bc9393369fb2e995b

Observation 5feffd52-e6a6-4990-9aa8-b818e2a768b7 · outbound

This paper cites TarMAC: Targeted multi-agent communi- cation,.

TeamCraft: A Benchmark for Multi-Modal Multi-Agent Systems in Minecraft TarMAC: Targeted multi-agent communi- cation,

Reference 9

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T20:53:37.476982Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-11T20:53:34.961691Z digest=sha256:5e72d5f88e2658278edea44549b09dd1cb1d364a6576511456109c117e5afb55

Observation 5127897d-c35a-4e3b-830e-5ff9f9754059 · outbound

This paper cites VillagerAgent: A Graph-Based Multi-Agent Framework for Coordinating Complex Task Dependencies in Minecraft,.

TeamCraft: A Benchmark for Multi-Modal Multi-Agent Systems in Minecraft VillagerAgent: A Graph-Based Multi-Agent Framework for Coordinating Complex Task Dependencies in Minecraft,

Reference 10

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T20:53:37.469429Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-11T20:53:34.992745Z digest=sha256:41ab37dcda8b1f6a351daeecd6aec767f7363276de0826017317003c0e0682e3

Observation 5c5065e0-1e16-44d1-9ced-e9a0f3de9137 · outbound

This paper cites Mine- Dojo: Building open-ended embodied agents with internet- scale knowledge,.

TeamCraft: A Benchmark for Multi-Modal Multi-Agent Systems in Minecraft Mine- Dojo: Building open-ended embodied agents with internet- scale knowledge,

Reference 11

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T20:53:37.435490Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-11T20:53:35.007002Z digest=sha256:bf0c3b63040bd80eba8900db12a000b1164b2f1d92b8903b43a2500e8988ba7e

Observation a3bf53b8-fe42-494e-9b5e-b373752de775 · outbound

This paper cites Alexa Arena: A User-Centric Interactive Platform for Embodied AI.

TeamCraft: A Benchmark for Multi-Modal Multi-Agent Systems in Minecraft Alexa Arena: A User-Centric Interactive Platform for Embodied AI

Reference 12

Resolution
verified exact
local_arxiv, observed 2026-08-11T20:53:35.665714Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-11T20:53:35.010416Z digest=sha256:daacb1b57245622a5d97e8918819decd62354c21575fba30c19ead581b719ae6

Observation 2dad4b49-a203-4f04-90f6-c84474eb4671 · outbound

This paper cites DialFRED: Dialogue-enabled agents for embod- ied instruction following,.

TeamCraft: A Benchmark for Multi-Modal Multi-Agent Systems in Minecraft DialFRED: Dialogue-enabled agents for embod- ied instruction following,

Reference 13

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T20:53:37.343591Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-11T20:53:35.013659Z digest=sha256:d10956391e8892930c511da6e67b8d63e1edc38a61bae4ee08bcd377f4f2ff92

Observation 293a3873-2372-461f-9801-98230568dd7a · outbound

This paper cites Joint mind modeling for explanation generation in complex human-robot collaborative tasks,.

TeamCraft: A Benchmark for Multi-Modal Multi-Agent Systems in Minecraft Joint mind modeling for explanation generation in complex human-robot collaborative tasks,

Reference 14

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T20:53:37.335332Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-11T20:53:35.016062Z digest=sha256:b4a52a6b4ed4a513867ae2ba2678ad2c07d5ab9baf191690dfd3723f282bf884

Observation 41da3d74-d58e-433d-8d8f-6cd5051185da · outbound

This paper cites LEMMA: Learning language-conditioned multi- robot manipulation,.

TeamCraft: A Benchmark for Multi-Modal Multi-Agent Systems in Minecraft LEMMA: Learning language-conditioned multi- robot manipulation,

Reference 15

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T20:53:37.327404Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-11T20:53:35.018561Z digest=sha256:afe73a987fbc076839ecf0ba8e9bfba854da91dfc614032f9052eb0849fb0335

Observation 93507a06-2905-456f-ad5e-17bb9da0179b · outbound

This paper cites ARNOLD: A benchmark for language-grounded task learn- ing with continuous states in realistic 3D scenes,.

TeamCraft: A Benchmark for Multi-Modal Multi-Agent Systems in Minecraft ARNOLD: A benchmark for language-grounded task learn- ing with continuous states in realistic 3D scenes,

Reference 16

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T20:53:37.319978Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-11T20:53:35.021796Z digest=sha256:ba12bfe06db637bdd8f04d4d68f3fabae6f34cfb57d28dcd14a32dd3e9946a8d

Observation b1410388-d559-4713-bfe7-96d585c637b3 · outbound

This paper cites MindAgent: Emergent gaming interaction,.

TeamCraft: A Benchmark for Multi-Modal Multi-Agent Systems in Minecraft MindAgent: Emergent gaming interaction,

Reference 17

Resolution
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raw_fallback, observed 2026-08-11T20:53:37.197007Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-11T20:53:35.024819Z digest=sha256:19f96c0037265ca2cfd9c2f31ec61344d493d30facebfd3ddedbf31bbe420280

Observation f8b9582c-1180-411d-960f-daf27c1eb8a8 · outbound

This paper cites IQA: Visual question answering in interac- tive environments,.

TeamCraft: A Benchmark for Multi-Modal Multi-Agent Systems in Minecraft IQA: Visual question answering in interac- tive environments,

Reference 18

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T20:53:37.170784Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-11T20:53:35.027561Z digest=sha256:5624892384c13a7b79fac922e11c60c2cb516695d14fbe2a0547844edc981c45

Observation 4d5af55a-0a3e-4559-bc18-70abacacf5d6 · outbound

This paper cites MineRL: A large-scale dataset of Minecraft demonstrations,.

TeamCraft: A Benchmark for Multi-Modal Multi-Agent Systems in Minecraft MineRL: A large-scale dataset of Minecraft demonstrations,

Reference 19

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T20:53:37.163260Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-11T20:53:35.054668Z digest=sha256:68d33d6ef63da31faecef3f98e9e84a4e0396d31a68bf4ab83027bb9c46fa6f7

Observation 2cbb9f78-da51-45f5-9d3a-3a63c5919d4d · outbound

This paper cites Human-level performance in 3D multiplayer games with population-based reinforcement learning,.

TeamCraft: A Benchmark for Multi-Modal Multi-Agent Systems in Minecraft Human-level performance in 3D multiplayer games with population-based reinforcement learning,

Reference 20

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T20:53:37.155582Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-11T20:53:35.090183Z digest=sha256:c982417a20717f205f10b38018c14c261002db14ca874e04d9503323032ed715

Observation 78001533-3700-4040-9412-27f3a6b31f5f · outbound

This paper cites A cordial sync: Going beyond marginal policies for multi-agent embodied tasks,.

TeamCraft: A Benchmark for Multi-Modal Multi-Agent Systems in Minecraft A cordial sync: Going beyond marginal policies for multi-agent embodied tasks,

Reference 21

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T20:53:37.148286Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-11T20:53:35.116995Z digest=sha256:d398b3ab7cfddebd62046f63664e24909d36035697e16177de1bf871b96dc343

Observation 20a1e3c0-8704-4aa1-b696-cb462c88d4e7 · outbound

This paper cites Two body prob- lem: Collaborative visual task completion,.

TeamCraft: A Benchmark for Multi-Modal Multi-Agent Systems in Minecraft Two body prob- lem: Collaborative visual task completion,

Reference 22

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T20:53:37.080060Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-11T20:53:35.119499Z digest=sha256:5d31eb5b75778cf9587af4e4f97ae7673dc81a6016747977e92759f41a4a383d

Observation 37ffcfe3-5646-4126-aec2-88319fbd8891 · outbound

This paper cites Learn- ing to execute instructions in a Minecraft dialogue,.

TeamCraft: A Benchmark for Multi-Modal Multi-Agent Systems in Minecraft Learn- ing to execute instructions in a Minecraft dialogue,

Reference 23

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T20:53:37.073172Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-11T20:53:35.121952Z digest=sha256:ea28941401b0ff4bdbb26644a950e3a568fade7b26da9d835e043e451c038425

Observation cfb73b24-e848-4035-b603-7e47949efb5d · outbound

This paper cites VIMA: General Robot Manipulation with Multimodal Prompts.

TeamCraft: A Benchmark for Multi-Modal Multi-Agent Systems in Minecraft VIMA: General Robot Manipulation with Multimodal Prompts

Reference 24

Resolution
unresolved
no resolver link, observed 2026-08-11T20:53:35.124367Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T20:53:35.124367Z digest=sha256:573599dbf0407a46702ff3e55265fb4f6e010d529167f496e43a9883534feb7e

Observation b23c82c9-b7a3-4349-ae70-9e3cfb6f0dda · outbound

This paper cites The malmo platform for artificial intelligence experimentation,.

TeamCraft: A Benchmark for Multi-Modal Multi-Agent Systems in Minecraft The malmo platform for artificial intelligence experimentation,

Reference 25

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T20:53:37.066824Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-11T20:53:35.127707Z digest=sha256:eaad3b2625c0d0a3addf019571a36ae5459f3dc1ca5156fea97b7a37eb62009d

Observation 6077f72a-490f-414b-ada9-469f46efc1e5 · outbound

This paper cites Scalable evaluation of multi-agent reinforcement learning with melting pot,.

TeamCraft: A Benchmark for Multi-Modal Multi-Agent Systems in Minecraft Scalable evaluation of multi-agent reinforcement learning with melting pot,

Reference 26

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T20:53:36.956487Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-11T20:53:35.130933Z digest=sha256:84f44de1ef0c45cf6b0f0d60923ec9339fbb46f5df477797284e6ce56673cbd4

Observation 7c4cce68-7dc8-4719-a1e4-730c6bc3a6b7 · outbound

This paper cites CAMEL: Communicative agents for “mind.

TeamCraft: A Benchmark for Multi-Modal Multi-Agent Systems in Minecraft CAMEL: Communicative agents for “mind

Reference 27

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T20:53:36.948282Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-11T20:53:35.133727Z digest=sha256:070584ec07fc2f8e7b0c00d5766111df0be48ebba16f49b8ad4f49f793e7ea19

Observation 2760b99c-25c1-43cd-973c-e991cef83867 · outbound

This paper cites Visual instruction tuning,.

TeamCraft: A Benchmark for Multi-Modal Multi-Agent Systems in Minecraft Visual instruction tuning,

Reference 28

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T20:53:36.835340Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-11T20:53:35.136633Z digest=sha256:aabdb640bfbc4380cf489dc83a92a6b4a5cdb3544f44c964ba40fe7f5ede74b5

Observation 25a2c408-51a0-4aa3-8b71-bc3b353ac2ff · outbound

This paper cites Multi-agent embodied visual semantic navigation with scene prior knowledge,.

TeamCraft: A Benchmark for Multi-Modal Multi-Agent Systems in Minecraft Multi-agent embodied visual semantic navigation with scene prior knowledge,

Reference 29

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T20:53:36.828407Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-11T20:53:35.140589Z digest=sha256:2569b0a37eb9fd5ce010a5360ef72b63918b5b69bc076d55dff3a14d9503258c

Observation 63d5c01e-075a-4154-8802-247e62962426 · outbound

This paper cites Embodied multi-agent task planning from ambiguous instruction,.

TeamCraft: A Benchmark for Multi-Modal Multi-Agent Systems in Minecraft Embodied multi-agent task planning from ambiguous instruction,

Reference 30

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T20:53:36.784663Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-11T20:53:35.170664Z digest=sha256:42d8e1ad5ef36dea595e7f07de38e0030a3c94ece088beaad73a75fca52f5e3d

Observation 5326c833-2eef-4c95-9f9d-04b8d8ae4c13 · outbound

This paper cites Inverse Attention Agents for Multi-Agent Systems.

TeamCraft: A Benchmark for Multi-Modal Multi-Agent Systems in Minecraft Inverse Attention Agents for Multi-Agent Systems

Reference 31

Resolution
unresolved
no resolver link, observed 2026-08-11T20:53:35.195322Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T20:53:35.195322Z digest=sha256:52cc9b83dd4caa77b16bb6545be2490a2e227d9645e4e46c1e9be7c0ba60a213

Observation a00e04e0-1705-469e-b5ac-27438149d3df · outbound

This paper cites SocialGFs: Learning Social Gradient Fields for Multi-Agent Reinforcement Learning.

TeamCraft: A Benchmark for Multi-Modal Multi-Agent Systems in Minecraft SocialGFs: Learning Social Gradient Fields for Multi-Agent Reinforcement Learning

Reference 32

Resolution
verified exact
local_arxiv, observed 2026-08-11T20:53:35.622297Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-11T20:53:35.212893Z digest=sha256:3848f612e02a66851e93289e7d7264ddd4183a45fc40c233987c07cdc5d177c0

Observation 88590da0-3924-4bbf-9834-b5d774642887 · outbound

This paper cites Evolutionary Population Curriculum for Scaling Multi-Agent Reinforcement Learning.

TeamCraft: A Benchmark for Multi-Modal Multi-Agent Systems in Minecraft Evolutionary Population Curriculum for Scaling Multi-Agent Reinforcement Learning

Reference 33

Resolution
unresolved
no resolver link, observed 2026-08-11T20:53:35.216055Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T20:53:35.216055Z digest=sha256:c986fe52a6321f3fdd2581a8fa6fb3f3ba72d38c53a13ef6bb28ff875c4a9e79

Observation b7b97df8-9057-4905-890f-c026812e8168 · outbound

This paper cites Multi-agent actor-critic for mixed cooperative- competitive environments,.

TeamCraft: A Benchmark for Multi-Modal Multi-Agent Systems in Minecraft Multi-agent actor-critic for mixed cooperative- competitive environments,

Reference 34

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T20:53:36.735448Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-11T20:53:35.219180Z digest=sha256:d9e4466dfa9b8ebad99c29eb40275c0e10a81c2d411ed5195013ed916b755270

Observation a7238af0-d81f-4495-aed0-2886f2edfd8e · outbound

This paper cites SQA3D: Situated question answering in 3D scenes,.

TeamCraft: A Benchmark for Multi-Modal Multi-Agent Systems in Minecraft SQA3D: Situated question answering in 3D scenes,

Reference 35

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T20:53:36.629697Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-11T20:53:35.221867Z digest=sha256:6d28d1442cd77c7492d4f2b02530b01d9d06ee2d2cdb5b20ffc07910262aee3d

Observation 5a858174-2c33-48ba-bd98-f9dbb648b671 · outbound

This paper cites OpenEQA: Embodied question answering in the era of foundation models,.

TeamCraft: A Benchmark for Multi-Modal Multi-Agent Systems in Minecraft OpenEQA: Embodied question answering in the era of foundation models,

Reference 36

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T20:53:36.592391Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-11T20:53:35.225527Z digest=sha256:90185523d9a329297ed052560128ce3313be143af385d992351414b3bd67372e

Observation cda70ff4-03d4-4052-a747-ce3e2bf0a507 · outbound

This paper cites RoCo: Dialectic multi-robot collaboration with large language models,.

TeamCraft: A Benchmark for Multi-Modal Multi-Agent Systems in Minecraft RoCo: Dialectic multi-robot collaboration with large language models,

Reference 37

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T20:53:36.438519Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-11T20:53:35.228305Z digest=sha256:da177c3c209a0fe70ebb1bad3512b79f0eb54683341f07627e40b61ae6cb6076

Observation 665f7994-1f8a-431b-933c-cee4752c6a84 · outbound

This paper cites CALVIN: A benchmark for language-conditioned policy learning for long-horizon robot manipulation tasks,.

TeamCraft: A Benchmark for Multi-Modal Multi-Agent Systems in Minecraft CALVIN: A benchmark for language-conditioned policy learning for long-horizon robot manipulation tasks,

Reference 38

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T20:53:36.428519Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-11T20:53:35.231831Z digest=sha256:4e0fd58ca265e7e81013a0c2dad0c9b7942c32bde709d0d97961a55cefce0154

Observation f1271412-a02b-444b-a592-1f1e39f34381 · outbound

This paper cites Emergence of Grounded Compositional Language in Multi-Agent Populations.

TeamCraft: A Benchmark for Multi-Modal Multi-Agent Systems in Minecraft Emergence of Grounded Compositional Language in Multi-Agent Populations

Reference 39

Resolution
unresolved
no resolver link, observed 2026-08-11T20:53:35.234782Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T20:53:35.234782Z digest=sha256:8c1cea50ace02b2c3bcacb326f3a298900307d9d55132271e381519cbda6cb46

Observation dfdb0c8c-b902-41fe-b5a5-551b54fbfeff · outbound

This paper cites Col- laborative dialogue in Minecraft,.

TeamCraft: A Benchmark for Multi-Modal Multi-Agent Systems in Minecraft Col- laborative dialogue in Minecraft,

Reference 40

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T20:53:36.421170Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-11T20:53:35.238185Z digest=sha256:3491e1ee2fbcd30a6d6178be9422339c34d833827a8aa722ccd99127cc19f19a

Observation a38c442f-0ada-4302-b963-a5a82bdd9525 · outbound

This paper cites TEACh: Task-driven embodied agents that chat,.

TeamCraft: A Benchmark for Multi-Modal Multi-Agent Systems in Minecraft TEACh: Task-driven embodied agents that chat,

Reference 41

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T20:53:36.412801Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-11T20:53:35.265687Z digest=sha256:c9f8c4781dc4db891f2acd972d2107b444d267040f3fbf972844ae8b4af0773e

Observation e8895218-2d2a-4910-a6c0-5fb42e98a651 · outbound

This paper cites Generative agents: Interactive simulacra of human behavior,.

TeamCraft: A Benchmark for Multi-Modal Multi-Agent Systems in Minecraft Generative agents: Interactive simulacra of human behavior,

Reference 42

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T20:53:36.358002Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-11T20:53:35.293888Z digest=sha256:92d9f9bb90b500bbddc5785f268a33013eb3147cee8277be6d8e64b02a360f9d

Observation f49b57b5-685a-4e17-a99c-3a088c4c5830 · outbound

This paper cites The Multi-Agent Reinforcement Learning in Malm\"O (MARL\"O) Competition.

TeamCraft: A Benchmark for Multi-Modal Multi-Agent Systems in Minecraft The Multi-Agent Reinforcement Learning in Malm\"O (MARL\"O) Competition

Reference 43

Resolution
unresolved
no resolver link, observed 2026-08-11T20:53:35.319002Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T20:53:35.319002Z digest=sha256:8b1d06dce814b1a0d804bd2de35f7cf4907afd74b95990472d0535b2ee21b90a

Observation 0cd73927-9c67-4d30-87c8-1b59fedeb41c · outbound

This paper cites Watch-And-Help: A challenge for social perception and human-ai collaboration,.

TeamCraft: A Benchmark for Multi-Modal Multi-Agent Systems in Minecraft Watch-And-Help: A challenge for social perception and human-ai collaboration,

Reference 44

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T20:53:36.306861Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-11T20:53:35.322364Z digest=sha256:a38a0c9cb1380edfc73873662e9ab6df698f170f684119960502efad418c6b51

Observation d963ba08-86d2-4c5d-b13d-00ab38052ad9 · outbound

This paper cites NOPA: Neurally-guided online probabilistic assistance for building socially intelligent home assistants,.

TeamCraft: A Benchmark for Multi-Modal Multi-Agent Systems in Minecraft NOPA: Neurally-guided online probabilistic assistance for building socially intelligent home assistants,

Reference 45

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T20:53:36.300353Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-11T20:53:35.324845Z digest=sha256:e131fa9230038bd8767a11a220bba7f7b0238977daf99750370a13e545f75a46

Observation 93214758-47a4-40d5-86da-6aa225cfe5a4 · outbound

This paper cites CLIPort: What and where pathways for robotic manipulation,.

TeamCraft: A Benchmark for Multi-Modal Multi-Agent Systems in Minecraft CLIPort: What and where pathways for robotic manipulation,

Reference 46

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T20:53:36.294216Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-11T20:53:35.328042Z digest=sha256:e1346e96e9fc874e2179f3cb09ee223f384e5ba41c7004a273cb138b12ee3dbd

Observation 727e3aff-78ab-488d-8511-8b5ebd08b6e4 · outbound

This paper cites ALFRED: A benchmark for interpreting grounded instructions for every- day tasks,.

TeamCraft: A Benchmark for Multi-Modal Multi-Agent Systems in Minecraft ALFRED: A benchmark for interpreting grounded instructions for every- day tasks,

Reference 47

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T20:53:36.286208Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-11T20:53:35.330772Z digest=sha256:9436e92dbc3db16eb1cc3c964c59421fec84cd75d15c84048009b35b3ae60a8e

Observation 3083a882-5b19-471d-980f-db5b424e1a18 · outbound

This paper cites ALFWorld: Aligning Text and Embodied Environments for Interactive Learning.

TeamCraft: A Benchmark for Multi-Modal Multi-Agent Systems in Minecraft ALFWorld: Aligning Text and Embodied Environments for Interactive Learning

Reference 48

Resolution
unresolved
no resolver link, observed 2026-08-11T20:53:35.333812Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T20:53:35.333812Z digest=sha256:c331330d5d2166d1d4bbe49c213ccba3eb6ccb156258821e145c2fccdc3ce36d

Observation 5b1561f6-ca65-49e3-8485-d8211aa57c3c · outbound

This paper cites The development of embodied cognition: Six lessons from babies,.

TeamCraft: A Benchmark for Multi-Modal Multi-Agent Systems in Minecraft The development of embodied cognition: Six lessons from babies,

Reference 49

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T20:53:36.229253Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-11T20:53:35.336917Z digest=sha256:464291ab232b404acbeccde063a9790fff913d0e9e5c166a994448e23cd1c648

Observation 8353e748-151c-403a-87f5-2347b9ab83d4 · outbound

This paper cites Multiagent systems: A survey from a machine learning perspective,.

TeamCraft: A Benchmark for Multi-Modal Multi-Agent Systems in Minecraft Multiagent systems: A survey from a machine learning perspective,

Reference 50

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T20:53:36.166692Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-11T20:53:35.339133Z digest=sha256:3ab4ad7162fb6e93d6b0aed971817ddbeafa082df7a2ce3488c73008e52c2039

Observation 4a3dd88e-c770-4727-984e-86bbfc303e3d · outbound

This paper cites Neural MMO 2.0: A massively multi-task addition to massively multi-agent learning,.

TeamCraft: A Benchmark for Multi-Modal Multi-Agent Systems in Minecraft Neural MMO 2.0: A massively multi-task addition to massively multi-agent learning,

Reference 51

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T20:53:36.160171Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-11T20:53:35.342910Z digest=sha256:9c931d86bccf2eb1778c10e97e9e661d89361ea3e184f9f02719801d1d171896

Observation 4df2d897-c5da-43ce-ba07-00a884e44685 · outbound

This paper cites The neural MMO platform for massively multiagent research,.

TeamCraft: A Benchmark for Multi-Modal Multi-Agent Systems in Minecraft The neural MMO platform for massively multiagent research,

Reference 52

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T20:53:36.153449Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-11T20:53:35.381495Z digest=sha256:69e00abba7dff0cbdecfdb410454d378f18bc26d86064b76a5abbcde1139dea6

Observation 897136e0-a0f1-4001-aca8-4c286bcdeee6 · outbound

This paper cites Habitat 2.0: Training home assistants to rearrange their habitat,.

TeamCraft: A Benchmark for Multi-Modal Multi-Agent Systems in Minecraft Habitat 2.0: Training home assistants to rearrange their habitat,

Reference 53

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T20:53:36.145144Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-11T20:53:35.418208Z digest=sha256:bf90235e94da2a500f87d8042001accfc75fe355c867fcd679d511ee7e08aff0

Observation 50bab3f0-0e87-4381-8ece-1a1b51c1de6c · outbound

This paper cites Multi-agent embodied question answering in interactive environments,.

TeamCraft: A Benchmark for Multi-Modal Multi-Agent Systems in Minecraft Multi-agent embodied question answering in interactive environments,

Reference 54

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T20:53:36.057512Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-11T20:53:35.421301Z digest=sha256:6c41a4de42733396f71b8c61ab9fd02ebdae263b4a4aa71bed4afa09b59e91f4

Observation 9ec3d81a-5bb1-4c2e-891f-c6f981e8ddc4 · outbound

This paper cites Grandmaster level in StarCraft II using multi-agent reinforcement learning,.

TeamCraft: A Benchmark for Multi-Modal Multi-Agent Systems in Minecraft Grandmaster level in StarCraft II using multi-agent reinforcement learning,

Reference 55

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T20:53:35.991793Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-11T20:53:35.424310Z digest=sha256:036615b09be7a4e1b9a7b9a4b4efa9ecd61d1e796f96b43674e8d68fdcd8f059

Observation 5375b129-343e-4869-9658-a85139655d11 · outbound

This paper cites HandMeThat: Human- robot communication in physical and social environments,.

TeamCraft: A Benchmark for Multi-Modal Multi-Agent Systems in Minecraft HandMeThat: Human- robot communication in physical and social environments,

Reference 56

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T20:53:35.982592Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-11T20:53:35.426902Z digest=sha256:9f80f412b24154aac8bfca25ab38c842e3a3711e3f8ca96b35b4b360f6d8a9ca

Observation 57669b38-87b9-4d11-962d-366eba249f08 · outbound

This paper cites V oyager: An open-ended em- bodied agent with large language models,.

TeamCraft: A Benchmark for Multi-Modal Multi-Agent Systems in Minecraft V oyager: An open-ended em- bodied agent with large language models,

Reference 57

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T20:53:35.974612Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-11T20:53:35.429239Z digest=sha256:0e02d8d4cba69addafcdff02c8b6a54ed8b74f4ce9812160ca7da6934a82c9e6

Observation 0a25bac1-aa92-4b0c-99f3-632e7f9f7e47 · outbound

This paper cites JARVIS-1: Open-World Multi-task Agents with Memory-Augmented Multimodal Language Models.

TeamCraft: A Benchmark for Multi-Modal Multi-Agent Systems in Minecraft JARVIS-1: Open-World Multi-task Agents with Memory-Augmented Multimodal Language Models

Reference 58

Resolution
unresolved
no resolver link, observed 2026-08-11T20:53:35.431771Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T20:53:35.431771Z digest=sha256:6e2284bd5c56458d5265df62fd03f801ca503e1045b86ec6d1f48b9cd2199707

Observation 4530925c-a649-4591-b6ac-8052c39c4cc9 · outbound

This paper cites Describe, explain, plan and select: Interactive planning with large lan- guage models enables open-world multi-task agents,.

TeamCraft: A Benchmark for Multi-Modal Multi-Agent Systems in Minecraft Describe, explain, plan and select: Interactive planning with large lan- guage models enables open-world multi-task agents,

Reference 59

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T20:53:35.966923Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-11T20:53:35.435318Z digest=sha256:40a9998c65b9ce04c1f8a74f23507e2bfa52e976ce3245ee8a38da559233f926

Observation f98a7cef-33de-4fdc-9b3b-abac41d060a5 · outbound

This paper cites Too many cooks: Bayesian inference for coordinating multi-agent collaboration,.

TeamCraft: A Benchmark for Multi-Modal Multi-Agent Systems in Minecraft Too many cooks: Bayesian inference for coordinating multi-agent collaboration,

Reference 60

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T20:53:35.891802Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-11T20:53:35.437744Z digest=sha256:e78968fa4cd8949d42402a377205622a4fea324c1afb311b890d88bb3076944c

Observation 150e0c4c-1e5d-4386-9739-2fb6702a47fb · outbound

This paper cites The surprising effectiveness of PPO in cooperative multi-agent games,.

TeamCraft: A Benchmark for Multi-Modal Multi-Agent Systems in Minecraft The surprising effectiveness of PPO in cooperative multi-agent games,

Reference 61

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T20:53:35.793046Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-11T20:53:35.440214Z digest=sha256:f71a6b789698d45e18626382009a6eeb6cd4b732007aff3a705bf17fe34d7298

Observation 0810fbdc-9213-4e6c-804a-6edc205b282b · outbound

This paper cites MineLand: Simulating large-scale multi-agent interactions with limited multimodal senses and physical needs,.

TeamCraft: A Benchmark for Multi-Modal Multi-Agent Systems in Minecraft MineLand: Simulating large-scale multi-agent interactions with limited multimodal senses and physical needs,

Reference 62

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T20:53:35.784923Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-11T20:53:35.442728Z digest=sha256:2187236856869361a3dd1c5ff58f46224e3f8c6859e316bb5048b8d54af25efb

Observation 2a2c6c8c-9ce8-4b1a-b8d3-7ced7cc13644 · outbound

This paper cites Transporter networks: Rearranging the visual world for robotic manipulation,.

TeamCraft: A Benchmark for Multi-Modal Multi-Agent Systems in Minecraft Transporter networks: Rearranging the visual world for robotic manipulation,

Reference 63

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T20:53:35.776486Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-11T20:53:35.445343Z digest=sha256:49d0461a75077bc86b519c2a1b128cc7c6248aacc8eb11128f7292e22320d33e

Observation 1bbd7961-ba46-404d-b4f7-68f7963d5fde · outbound

This paper cites ProAgent: Building proactive cooper- ative agents with large language models,.

TeamCraft: A Benchmark for Multi-Modal Multi-Agent Systems in Minecraft ProAgent: Building proactive cooper- ative agents with large language models,

Reference 64

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T20:53:35.768489Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-11T20:53:35.447715Z digest=sha256:9ddc437f0ad769ded26354a5fed01e6b7a863e672eec10391b01317b035d3e07

Observation d559f3ce-e493-43ce-8783-81e23e252e33 · outbound

This paper cites Building cooperative embodied agents modularly with large language models,.

TeamCraft: A Benchmark for Multi-Modal Multi-Agent Systems in Minecraft Building cooperative embodied agents modularly with large language models,

Reference 65

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T20:53:35.745858Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-11T20:53:35.450578Z digest=sha256:4a191b20c48bea5c0ca9a4a533d1011d4fa45331d8dc925af4929862e8306a51

Observation c6023e0a-e346-4ebf-9dc0-b5b52c395e72 · outbound

This paper cites COMBO: Compositional World Models for Embodied Multi-Agent Cooperation.

TeamCraft: A Benchmark for Multi-Modal Multi-Agent Systems in Minecraft COMBO: Compositional World Models for Embodied Multi-Agent Cooperation

Reference 66

Resolution
unresolved
no resolver link, observed 2026-08-11T20:53:35.455099Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T20:53:35.455099Z digest=sha256:0ec8205ce4bf1e6d79df4619ca1db071d7ac31d1485081386e93b6767346675e

Observation f9d23e22-44ef-495d-b86c-c856588182b9 · outbound

This paper cites VLMbench: A compositional benchmark for vision-and-language manipu- lation,.

TeamCraft: A Benchmark for Multi-Modal Multi-Agent Systems in Minecraft VLMbench: A compositional benchmark for vision-and-language manipu- lation,

Reference 67

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T20:53:35.686708Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-11T20:53:35.497836Z digest=sha256:b7a3d6286de15e7a08da19009030c03315e6d4f05f332a9f8d777f94ac545924

Pith citing papers

Observation d363ce66-e698-482b-be4a-0fa0f8c33924 · inbound

Why Do Multi-Agent LLM Systems Fail? cites this paper.

Why Do Multi-Agent LLM Systems Fail? TeamCraft: A Benchmark for Multi-Modal Multi-Agent Systems in Minecraft

Reference 34

Resolution
verified exact
arxiv_id, observed 2026-05-12T05:42:58.311345Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-05-12T05:42:57.561468Z digest=sha256:24dda85d4eeff040785d9f674d6b0e8369622b9a369d6dc30a8dee04b99f6936

Observation be223978-c8d1-4aab-b264-f27036544a98 · inbound

From LLM Reasoning to Autonomous AI Agents: A Comprehensive Review cites this paper.

From LLM Reasoning to Autonomous AI Agents: A Comprehensive Review TeamCraft: A Benchmark for Multi-Modal Multi-Agent Systems in Minecraft

Reference 103

Resolution
verified exact
arxiv_id, observed 2026-05-15T02:57:38.415884Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-05-15T02:57:37.873567Z digest=sha256:a151851d3c3207fe4b5d018476a1189e809a7f4d55fc4a4089591288d7e0f25c

Observation a82f3acb-3ad6-421d-876d-b8d72bec3cbe · inbound

Large Language Models for Planning: A Comprehensive and Systematic Survey cites this paper.

Large Language Models for Planning: A Comprehensive and Systematic Survey TeamCraft: A Benchmark for Multi-Modal Multi-Agent Systems in Minecraft

Reference 161

Resolution
unresolved
no resolver link, observed 2026-08-07T14:12:01.259409Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T14:12:01.259409Z digest=sha256:026dbb87bf50a006a11d3b4ea922eaab3f0ab5f505bab345fa5e5c9a0e656163

Observation 2ec86955-8498-410d-ab43-e4e58723dd6f · inbound

Evo-Memory: Benchmarking LLM Agent Test-time Learning with Self-Evolving Memory cites this paper.

Evo-Memory: Benchmarking LLM Agent Test-time Learning with Self-Evolving Memory TeamCraft: A Benchmark for Multi-Modal Multi-Agent Systems in Minecraft

Reference 80

Resolution
metadata mismatch
arxiv_id, observed 2026-05-14T23:13:16.402744Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=arxiv_source observed=2026-05-14T23:13:15.016486Z digest=sha256:3b19e49e6673822f0c68195ad8891008cc8808a3bd5da5b5bcecba80eaf8ced0

Observation de2bdad4-1c71-4abc-a008-c44f46821b39 · inbound

MultiWorld: Scalable Multi-Agent Multi-View Video World Models cites this paper.

MultiWorld: Scalable Multi-Agent Multi-View Video World Models TeamCraft: A Benchmark for Multi-Modal Multi-Agent Systems in Minecraft

Reference 23

Resolution
metadata mismatch
arxiv_id, observed 2026-05-10T10:09:08.082912Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-05-10T05:06:11.514186Z digest=sha256:cde56908333037d188f53abe481c2a5849dbcd79a8d3b363905373a4983b2de1

Observation 50c964ae-405e-419f-810e-2277c9beceef · inbound

Dream-Cubed: Controllable Generative Modeling in Minecraft by Training on Billions of Cubes cites this paper.

Dream-Cubed: Controllable Generative Modeling in Minecraft by Training on Billions of Cubes TeamCraft: A Benchmark for Multi-Modal Multi-Agent Systems in Minecraft

Reference 22

Resolution
verified exact
arxiv_id, observed 2026-05-11T13:31:02.699308Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-05-10T01:36:23.517745Z digest=sha256:de167f68a24e0aee279ee6bea608fc6c3bb53820eba000bef012e72698ba9b09

Observation e4333c62-565a-4b97-837e-41fdd1e6746c · inbound

Seeing Together: Multi-Robot Cooperative Egocentric Spatial Reasoning with Multimodal Large Language Models cites this paper.

Seeing Together: Multi-Robot Cooperative Egocentric Spatial Reasoning with Multimodal Large Language Models TeamCraft: A Benchmark for Multi-Modal Multi-Agent Systems in Minecraft

Reference 39

Resolution
verified exact
arxiv_id, observed 2026-05-20T10:38:12.472715Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-05-20T10:36:20.388169Z digest=sha256:684b75b36c106fdc11556c78063e5323fb9b40890b3d947f1771d13f75d715cb

Observation 2857d46f-9c74-44db-8e6e-5ee0acb254fc · inbound

RTSGameBench: An RTS Benchmark for Strategic Reasoning by Vision-Language Models cites this paper.

RTSGameBench: An RTS Benchmark for Strategic Reasoning by Vision-Language Models TeamCraft: A Benchmark for Multi-Modal Multi-Agent Systems in Minecraft

Reference 28

Resolution
metadata mismatch
arxiv_id, observed 2026-07-04T00:39:17.294385Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-06-26T21:02:26.081166Z digest=sha256:f1e6a1190712b9bbfdd74ca571f03d5d491b2f41f3b8e6ff685d96969fe344c5